In this report i will demonstarte my analysis for the cleaned data i made in twitter_archive_master.csv using Pandas and matplotlib libraries to find insights and visualize some of them
The Dataframe of the cleaned file includes only 855 tweet records of original tweets with photos and most accurate and valid values
There are 636 names for dogs in the dataset ,The most common dog name in the tweets is Cooper which tweeted 9 times followed by oliver which tweeted 7 times
Most of the dogs are not classified but the others are classified according to the Dogtionary to Pupper , Doggo , Puppo ,Floofer and doggo pupper as in this Pie chart , pupper is the most classified with 71 tweets while floofer and doggo pupper is the least classified with only 4 tweets
Most retweeted and also most favorite tweet is the one with id 807106840509214720 for a dog called Stephan , this tweet has been retweeted 55640 times and favorited 118967 times with tweet text 'This is Stephan. He just wants to help. 13/10 such a good boy'